Derek: How could a symbolic engine ever reason about the real world *with* access to such information?
I hope my work eventually demonstrates a solution to your satisfaction. In the meantime there is evidence from robotics, specifically driverless cars, that real world sensor input can be sufficiently combined and abstracted for use by symbolic route planners. -Steve Stephen L. Reed Artificial Intelligence Researcher http://texai.org/blog http://texai.org 3008 Oak Crest Ave. Austin, Texas, USA 78704 512.791.7860 ----- Original Message ---- From: Derek Zahn <[EMAIL PROTECTED]> To: [email protected] Sent: Sunday, March 30, 2008 11:21:52 AM Subject: RE: [agi] Intelligence: a pattern discovery algorithm of scalable complexity. .hmmessage P { margin:0px;padding:0px;} body.hmmessage { FONT-SIZE:10pt;FONT-FAMILY:Tahoma;} [EMAIL PROTECTED] writes: > But it should be quite clear that such methods could eventually be very > handy for AGI. I agree with your post 100%, this type of approach is the most interesting AGI-related stuff to me. > An audiovisual perception layer generates semantic interpretation on the > (sub)symbolic level. How could a symbolic engine ever reason about the real > world without access to such information? Even more interesting: How could a symbolic engine ever reason about the real world *with* access to such information? :) agi | Archives | Modify Your Subscription ____________________________________________________________________________________ Special deal for Yahoo! users & friends - No Cost. Get a month of Blockbuster Total Access now http://tc.deals.yahoo.com/tc/blockbuster/text3.com ------------------------------------------- agi Archives: http://www.listbox.com/member/archive/303/=now RSS Feed: http://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: http://www.listbox.com/member/?member_id=8660244&id_secret=98558129-0bdb63 Powered by Listbox: http://www.listbox.com
